我正在尝试在Apache光束中运行一个非常简单的程序来测试它是如何工作的。
import apache_beam as beam
class Split(beam.DoFn):
def process(self, element):
return element
with beam.Pipeline() as p:
rows = (p | beam.io.ReadAllFromText(
"input.csv") | beam.ParDo(Split()))在运行这段代码时,我得到以下错误
.... some more stack....
File "/home/raheel/code/beam-practice/lib/python2.7/site-packages/apache_beam/transforms/util.py", line 565, in expand
windowing_saved = pcoll.windowing
File "/home/raheel/code/beam-practice/lib/python2.7/site-packages/apache_beam/pvalue.py", line 137, in windowing
self.producer.inputs)
File "/home/raheel/code/beam-practice/lib/python2.7/site-packages/apache_beam/transforms/ptransform.py", line 464, in get_windowing
return inputs[0].windowing
File "/home/raheel/code/beam-practice/lib/python2.7/site-packages/apache_beam/pvalue.py", line 137, in windowing
self.producer.inputs)
File "/home/raheel/code/beam-practice/lib/python2.7/site-packages/apache_beam/transforms/ptransform.py", line 464, in get_windowing
return inputs[0].windowing
AttributeError: 'PBegin' object has no attribute 'windowing'你知道这里出了什么问题吗?
谢谢
发布于 2019-03-06 04:41:19
ReadAllFromText期望从文件的PCollection中读取,而不是将其作为参数传递。因此,在您的情况下,它应该是:
p | beam.Create(["input.csv"])
| beam.io.ReadAllFromText()https://stackoverflow.com/questions/55002415
复制相似问题